Reinforcement Learning to Rank with Markov Decision Process.
Zheng WeiJun XuYanyan LanJiafeng GuoXueqi ChengPublished in: SIGIR (2017)
Keyphrases
- learning to rank
- markov decision process
- reinforcement learning
- state space
- ranking functions
- markov decision processes
- information retrieval
- loss function
- optimal policy
- supervised learning
- evaluation measures
- document retrieval
- infinite horizon
- ranking svm
- retrieval systems
- machine learning
- collaborative filtering
- learning to rank algorithms
- direct optimization
- reward function
- dynamic programming
- optimal control
- initial state
- state variables
- multimedia
- learning algorithm
- ranking models
- support vector
- test collection